code: def _filter_empty_split_hists(centers, values):
      """Filter empty split histograms from input centers and values
  
      :param list centers: input center values list
      :param list values: input values list
      :return: filtered centers and values lists
      """
      cc = []
      vv = []
      for c, v in zip(centers, values):
          # ignore nan, overflow and underflow counters in total event count
          entries = sum_entries(v, default=False)
          if entries > 0:
              cc.append(c)
              vv.append(v)
      return cc, vv
  
file_path: popmon/popmon/hist/hist_utils.py
imports: import histogrammar
  import histogrammar.specialized
  import numpy
  import pandas
  from histogrammar.specialized import CategorizeHistogramMethods, HistogramMethods, SparselyHistogramMethods, SparselyTwoDimensionallyHistogramMethods, TwoDimensionallyHistogramMethods
  from histogrammar.util import get_hist_props
label_desc: Use image node_id 11 for calling a global function with example usage: _filter_empty_split_hists(centers, values) and returns: cc,  vv